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Christos Dimitrakakis

Personal

Christos Dimitrakakis

Docent på avdelningen för Data Science och AI, Institutionen för data- och informationsteknik

chrdimi@chalmers.se +46317721044 Hitta till mig http://orcid.org/0000-0002-5367-5189

Link to personal webpage

Publikationer
Samverkan och projekt

Senaste publikationer

2021
SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning

Författare: Hannes Eriksson; Debabrota Basu; Mina Alibeigi; Christos Dimitrakakis

Publiceringsår: 2021

Publicerat i:

Publikationstyp: Preprint
2020
Epistemic risk-sensitive reinforcement learning

Författare: Hannes Eriksson; Christos Dimitrakakis

Publiceringsår: 2020

Publicerat i: ESANN 2020 - Proceedings, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

Publikationstyp: Paper i proceeding
Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning

Författare: Emilio Jorge; Hannes Eriksson; Christos Dimitrakakis; Debabrota Basu; Divya Grover

Publiceringsår: 2020

Publicerat i: Proceedings of Machine Learning Research

Publikationstyp: Paper i proceeding
A novel individually rational objective in multi-agent multi-armed bandits: Algorithms and regret bounds

Författare: Aristide Tossou; Christos Dimitrakakis; Jaroslaw Rzepecki; K. Hofmann

Publiceringsår: 2020

Publicerat i: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

Publikationstyp: Paper i proceeding
Bayesian Reinforcement Learning via Deep, Sparse Sampling

Författare: Divya Grover; Debabrota Basu; Christos Dimitrakakis

Publiceringsår: 2020

Publicerat i: INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 108

Publikationstyp: Paper i proceeding
2019
Privacy of Real-Time Pricing in Smart Grid

Författare: Mahrokh Ghoddousiboroujeni; Dominik Fay; Christos Dimitrakakis; Maryam Kamgarpour

Publiceringsår: 2019

Publicerat i: Proceedings of the IEEE Conference on Decision and Control

Publikationstyp: Paper i proceeding
Bayesian Fairness

Författare: Christos Dimitrakakis; Yang Liu; David C. Parkes; Goran Radanovic

Publiceringsår: 2019

Publicerat i: THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Publikationstyp: Paper i proceeding
Bayesian optimization in ab initio nuclear physics

Författare: Andreas Ekström; Christian Forssen; Christos Dimitrakakis; Devdatt Dubhashi; Håkan T Johansson; Muhammad Azam Sheikh; Hans Salomonsson; Alexander Schliep

Publiceringsår: 2019

Publicerat i: Journal of Physics G: Nuclear and Particle Physics

Publikationstyp: Artikel i vetenskaplig tidskrift
2018
VIVO: A secure, privacy-preserving, and real-time crowd-sensing framework for the Internet of Things

Författare: Luca Luceri; Felipe Cardoso; Michela Papandrea; Silvia Giordano; Julia Buwaya; Stephane Kundig; Constantinos Marios Angelopoulos; Jose Rolim; Zhongliang Zhao; Jose Luis Carrera; Torsten Braun; Aristide Tossou; Christos Dimitrakakis; Aikaterini Mitrokotsa

Publiceringsår: 2018

Publicerat i: Pervasive and Mobile Computing

Publikationstyp: Artikel i vetenskaplig tidskrift
2017
Multi-view decision processes: The helper-AI problem

Författare: Christos Dimitrakakis; David C. Parkes; Goran Radanovic; Paul Tylkin

Publiceringsår: 2017

Publicerat i: Advances in Neural Information Processing Systems

Publikationstyp: Paper i proceeding
Adaptive Sampling-based View Planning under Time Constraints

Författare: Lars Kunze; Mohan Sridharan; Christos Dimitrakakis; Jeremy Wyatt

Publiceringsår: 2017

Publicerat i: 2017 European Conference on Mobile Robots (ECMR)

Publikationstyp: Paper i proceeding
A Differentially Private Encryption Scheme

Författare: Carlo Brunetta; Christos Dimitrakakis; Bei Liang; Aikaterini Mitrokotsa

Publiceringsår: 2017

Publicerat i: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publikationstyp: Paper i proceeding
Bayesian Inference for Least Squares Temporal Difference Regularization

Författare: Nikolaos Tziortztiois; Christos Dimitrakakis

Publiceringsår: 2017

Publicerat i: ECML 2017

Publikationstyp: Paper i proceeding
Thompson Sampling for Stochastic Bandits with Graph Feedback

Författare: Aristide Tossou; Christos Dimitrakakis; Devdatt Dubhashi

Publiceringsår: 2017

Publicerat i: 31st AAAI Conference on Artificial Intelligence, AAAI 2017, San Francisco, United States, 4-10 February 2017

Publikationstyp: Paper i proceeding
Achieving Privacy in the Adversarial Multi-Armed Bandit

Författare: Aristide Tossou; Christos Dimitrakakis

Publiceringsår: 2017

Publicerat i: 31st AAAI Conference on Artificial Intelligence, AAAI 2017, San Francisco, United States, 4-10 February 2017

Publikationstyp: Paper i proceeding
Near-Optimal Blacklisting

Författare: Christos Dimitrakakis; Aikaterini Mitrokotsa

Publiceringsår: 2017

Publicerat i: Computers and Security

Publikationstyp: Artikel i vetenskaplig tidskrift
Differential privacy for Bayesian inference through posterior sampling

Författare: Christos Dimitrakakis; B.E.N. Nelson; Zuhe Zhang; Aikaterini Mitrokotsa; B. Rubinstein

Publiceringsår: 2017

Publicerat i: Journal of Machine Learning Research

Publikationstyp: Artikel i vetenskaplig tidskrift
DUCT: An upper confidence bound approach to distributed constraint optimization problems

Författare: Brammert Ottens; Christos Dimitrakakis; Boi Faltings

Publiceringsår: 2017

Publicerat i: ACM Transactions on Intelligent Systems and Technology

Publikationstyp: Artikel i vetenskaplig tidskrift
2016
Optimal advertisement strategies for small and big companies

Författare: Aristide Tossou; Christos Dimitrakakis

Publiceringsår: 2016

Publicerat i: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering

Publikationstyp: Paper i proceeding
Synergistic user ↔ context analytics

Författare: A. Hossmann-Picu; Z. Li; Z. Zhao; T. Braun; C.M. Angelopoulos; O. Evangelatos; J. Rolim; M. Papandrea; K. Garg; S. Giordano; Aristide Tossou; Christos Dimitrakakis; Aikaterini Mitrokotsa

Publiceringsår: 2016

Publicerat i: Advances in Intelligent Systems and Computing

Publikationstyp: Paper i proceeding
Algorithms for Differentially Private Multi-Armed Bandits

Författare: Aristide Tossou; Christos Dimitrakakis

Publiceringsår: 2016

Publicerat i: 30th AAAI Conference on Artificial Intelligence, AAAI 2016, Phoenix Convention CenterPhoenix, United States, 12-17 February 2016

Publikationstyp: Paper i proceeding
On the differential privacy of Bayesian inference

Författare: Zuhe Zhang; B. Rubinstein; Christos Dimitrakakis

Publiceringsår: 2016

Publicerat i: 30th AAAI Conference on Artificial Intelligence, AAAI 2016, Phoenix Convention CenterPhoenix, United States, 12-17 February 2016

Publikationstyp: Paper i proceeding
2015
Expected loss analysis for authentication in constrained channels

Författare: Christos Dimitrakakis; Aikaterini Mitrokotsa; Serge Vaudenay

Publiceringsår: 2015

Publicerat i: Journal of Computer Security

Publikationstyp: Artikel i vetenskaplig tidskrift
Foreword - Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security

Författare: Christos Dimitrakakis; Aikaterini Mitrokotsa; Arunesh Sinha; I. Ray

Publiceringsår: 2015

Publicerat i: 8th ACM Workshop on Artificial Intelligence and Security, AISec 2015 - co-located with CCS 2015; Denver; United States

Publikationstyp: Övrigt konferensbidrag
Differentially private, multi-agent multi-armed bandits

Författare: Aristide Tossou; Christos Dimitrakakis

Publiceringsår: 2015

Publicerat i: European Workshop on Reinforcement Learning (EWRL-15)

Publikationstyp: Paper i proceeding

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Sidansvarig Publicerad: to 19 nov 2020.